A Real-Time EMT Digital Model for a Dutch Regional EHV Network

Integrating Offshore Power

Conference Paper (2024)
Author(s)

J.A. Aviles Cedeño (TU Delft - Intelligent Electrical Power Grids)

José Luis Rueda Rueda-Torres (TU Delft - Intelligent Electrical Power Grids)

A.D. Perilla Guerra (TU Delft - Intelligent Electrical Power Grids)

P Palensky (TU Delft - Electrical Sustainable Energy)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/IECON55916.2024.10905203
More Info
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Publication Year
2024
Language
English
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
ISBN (electronic)
9781665464543
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Abstract

As electrical systems become increasingly complex with the integration of new electronic loads and variable renewable energy sources (VRES), modern tools are essential for their effective management and operation. This paper discusses an initial step toward the complete implementation of a digital twin for the Dutch electrical power grid: the development of a real-time digital model. This model represents the Randstad region’s electrical grid, which has recently been enhanced by substantial offshore wind power installations, including Hollandse Kust Zuid and Hollandse Kust Noord. The Real-Time Electromagnetic Transient (EMT) model described in this study enables the assessment of the impacts of offshore wind integration on network stability and power quality. Network elements have been modeled using RSCAD and implemented within the Real-Time Digital Simulator (RTDS). Detailed simulations are conducted to evaluate the grid’s capacity to handle the active and reactive power influx from the offshore wind farms. This study highlights the critical role of precise modeling in ensuring the reliability and efficiency of wind power integration into the national grid.

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